S. Kashem

BIO-CXRNET: a robust multimodal stacking machine learning technique for mortality risk prediction of COVID-19 patients using chest X-ray images and clinical data

Khandaker F. Islam, Z. Mahbub, A. Khandakar, 2022, Neural Computing and Applications.

Microwave brain imaging system to detect brain tumor using metamaterial loaded stacked antenna array

Mohammad Tausiful Islam, N. Misran, M. E. Chowdhury, 2022, Scientific Reports.

Genomic landscape of prominent XDR Acinetobacter clonal complexes from Dhaka, Bangladesh

Mukesh Jain, A. Sadique, C. R. Ahsan, 2022, BMC Genomics.

Exploring the effect of image enhancement techniques on COVID-19 detection using chest X-ray images pdf

Serkan Kiranyaz, Muhammad Salman Khan, Amith Khandakar, 2020, Computers in Biology and Medicine.

Transfer Learning with Deep Convolutional Neural Network (CNN) for Pneumonia Detection using Chest X-ray pdf

Saad Kashem, Amith Khandakar, Muhammad E. H. Chowdhury, 2020, Applied Sciences.

QCovSML: A reliable COVID-19 detection system using CBC biomarkers by a stacking machine learning model

Farhan Fuad Abir, Md. Shafayet Hossain, A. Khandakar, 2022, Computers in Biology and Medicine.

Enhance data availability and network consistency using artificial neural network for IoT

M. Tabassum, A. Khandakar, M. Chowdhury, 2022, Multimedia Tools and Applications.

Development and Validation of an Early Scoring System for Prediction of Disease Severity in COVID-19 Using Complete Blood Count Parameters

S. Doi, M. E. Chowdhury, A. Khandakar, 2021, IEEE Access.